Practical Fairness: Achieving Fair and Secure Data Models (Paperback)

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Practical Fairness: Achieving Fair and Secure Data Models (Paperback)margin: 0px 0px 14px; padding: 0px; font family: "Amazon Ember", Arial, sans serif; font size: 14px;'Fairness is becoming a paramount consideration for data scientists. Mounting evidence indicates that the widespread deployment of machine learning and AI in business and government is reproducing the same biases we're trying to fight in the real world. But what does fairness mean when it comes to code? This practical book covers basic concerns related

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